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http://hdl.handle.net/10397/98776
| Title: | Linking data-driven innovation to firm performance : a theoretical framework and case analysis | Authors: | Wong, DTW Ngai, EWT |
Issue Date: | Feb-2024 | Source: | Annals of operations research, Feb. 2024, v. 333, no. 2-3, p. 999-1018 | Abstract: | This paper examines the impact of data-driven innovation (DDI) on firm performance, based on an exploratory case study of a manufacturing firm in China’s textile and apparel industry. It explores the influence of various contextual variables on the firm’s DDI and suggests ways to enhance DDI and thereby firm performance. Extending the literature on DDI, the paper proposes and validates a theoretical framework that incorporates the influence of various contextual factors on firms’ DDI. The findings show that (1) individual context is associated with DDI; (2) organizational context is associated with DDI; and (3) DDI is associated with firm performance. This paper extends our understanding of how firm performance can be improved through DDI and shows that DDI should match a firm’s contextual environment. | Keywords: | Case study Data-driven innovation Firm performance Literature review Organizational and individual context |
Publisher: | Springer | Journal: | Annals of operations research | ISSN: | 0254-5330 | EISSN: | 1572-9338 | DOI: | 10.1007/s10479-022-05038-y | Rights: | © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10479-022-05038-y. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Wong_linking_data-driven_innovation.pdf | Pre-Published version | 1.12 MB | Adobe PDF | View/Open |
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